feat(copilot-sdk): release v0.1.1 - remove db dependency, add timeout, fix streaming
- Remove database dependency for session management, use chat_id directly - Add TIMEOUT valve (default 300s) - Fix streaming issues by handling full message events - Improve chat_id extraction and tool detection - Update docs and bump version to 0.1.1
This commit is contained in:
fujie
757
plugins/pipes/github-copilot-sdk/github_copilot_sdk_cn.py
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757
plugins/pipes/github-copilot-sdk/github_copilot_sdk_cn.py
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@@ -0,0 +1,757 @@
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"""
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title: GitHub Copilot 官方 SDK 管道 (动态模型版)
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author: Fu-Jie
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author_url: https://github.com/Fu-Jie/awesome-openwebui
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funding_url: https://github.com/open-webui
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description: 集成 GitHub Copilot SDK。支持动态模型、多轮对话、流式输出、多模态输入及无限会话（上下文自动压缩）。
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version: 0.1.1
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requirements: github-copilot-sdk
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"""
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import os
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import time
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import json
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import base64
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import tempfile
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import asyncio
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import logging
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import shutil
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import subprocess
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import sys
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from typing import Optional, Union, AsyncGenerator, List, Any, Dict
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from pydantic import BaseModel, Field
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from datetime import datetime, timezone
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import contextlib
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# Setup logger
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logger = logging.getLogger(__name__)
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# Open WebUI internal database (re-use shared connection)
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try:
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from open_webui.internal import db as owui_db
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except ModuleNotFoundError:
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owui_db = None
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def _discover_owui_engine(db_module: Any) -> Optional[Engine]:
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"""Discover the Open WebUI SQLAlchemy engine via provided db module helpers."""
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if db_module is None:
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return None
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db_context = getattr(db_module, "get_db_context", None) or getattr(
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db_module, "get_db", None
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)
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if callable(db_context):
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try:
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with db_context() as session:
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try:
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return session.get_bind()
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except AttributeError:
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return getattr(session, "bind", None) or getattr(
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session, "engine", None
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)
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except Exception as exc:
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logger.error(f"[DB Discover] get_db_context failed: {exc}")
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for attr in ("engine", "ENGINE", "bind", "BIND"):
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candidate = getattr(db_module, attr, None)
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if candidate is not None:
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return candidate
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return None
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def _discover_owui_schema(db_module: Any) -> Optional[str]:
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"""Discover the Open WebUI database schema name if configured."""
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if db_module is None:
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return None
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try:
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base = getattr(db_module, "Base", None)
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metadata = getattr(base, "metadata", None) if base is not None else None
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candidate = getattr(metadata, "schema", None) if metadata is not None else None
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if isinstance(candidate, str) and candidate.strip():
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return candidate.strip()
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except Exception as exc:
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logger.error(f"[DB Discover] Base metadata schema lookup failed: {exc}")
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try:
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metadata_obj = getattr(db_module, "metadata_obj", None)
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candidate = (
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getattr(metadata_obj, "schema", None) if metadata_obj is not None else None
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)
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if isinstance(candidate, str) and candidate.strip():
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return candidate.strip()
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except Exception as exc:
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logger.error(f"[DB Discover] metadata_obj schema lookup failed: {exc}")
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try:
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from open_webui import env as owui_env
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candidate = getattr(owui_env, "DATABASE_SCHEMA", None)
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if isinstance(candidate, str) and candidate.strip():
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return candidate.strip()
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except Exception as exc:
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logger.error(f"[DB Discover] env schema lookup failed: {exc}")
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return None
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owui_engine = _discover_owui_engine(owui_db)
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owui_schema = _discover_owui_schema(owui_db)
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owui_Base = getattr(owui_db, "Base", None) if owui_db is not None else None
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if owui_Base is None:
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owui_Base = declarative_base()
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class CopilotSessionMap(owui_Base):
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"""Copilot Session Mapping Table"""
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__tablename__ = "copilot_session_map"
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__table_args__ = (
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{"extend_existing": True, "schema": owui_schema}
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if owui_schema
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else {"extend_existing": True}
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)
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id = Column(Integer, primary_key=True, autoincrement=True)
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chat_id = Column(String(255), unique=True, nullable=False, index=True)
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copilot_session_id = Column(String(255), nullable=False)
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updated_at = Column(
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DateTime,
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default=lambda: datetime.now(timezone.utc),
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onupdate=lambda: datetime.now(timezone.utc),
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)
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# 全局客户端存储
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_SHARED_CLIENT = None
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_SHARED_TOKEN = ""
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_CLIENT_LOCK = asyncio.Lock()
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class Pipe:
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class Valves(BaseModel):
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GH_TOKEN: str = Field(
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default="", description="GitHub 细粒度令牌 (需开启 'Copilot Requests' 权限)"
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)
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MODEL_ID: str = Field(
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default="claude-sonnet-4.5",
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description="默认使用的 Copilot 模型名称 (当无法动态获取时使用)",
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)
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CLI_PATH: str = Field(
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default="/usr/local/bin/copilot",
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description="Copilot CLI 路径",
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)
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DEBUG: bool = Field(
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default=False,
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description="开启技术调试日志 (连接信息等)",
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)
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SHOW_THINKING: bool = Field(
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default=True,
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description="显示模型推理/思考过程",
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)
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EXCLUDE_KEYWORDS: str = Field(
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default="",
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description="排除包含这些关键词的模型 (逗号分隔，例如: codex, haiku)",
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)
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WORKSPACE_DIR: str = Field(
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default="",
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description="文件操作的受限工作目录。如果为空，允许访问当前进程目录。",
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)
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INFINITE_SESSION: bool = Field(
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default=True,
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description="启用无限会话 (自动上下文压缩)",
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)
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COMPACTION_THRESHOLD: float = Field(
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default=0.8,
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description="后台压缩阈值 (0.0-1.0)",
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)
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BUFFER_THRESHOLD: float = Field(
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default=0.95,
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description="背景压缩缓冲区阈值 (0.0-1.0)",
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)
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TIMEOUT: int = Field(
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default=300,
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description="流式数据块超时时间 (秒)",
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)
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def __init__(self):
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self.type = "pipe"
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self.name = "copilotsdk"
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self.valves = self.Valves()
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self.temp_dir = tempfile.mkdtemp(prefix="copilot_images_")
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self.thinking_started = False
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self._model_cache = [] # 模型列表缓存
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def __del__(self):
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try:
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shutil.rmtree(self.temp_dir)
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except:
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pass
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def _emit_debug_log(self, message: str):
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"""Emit debug log to frontend if DEBUG valve is enabled."""
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if self.valves.DEBUG:
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print(f"[Copilot Pipe] {message}")
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def _get_user_context(self):
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"""Helper to get user context (placeholder for future use)."""
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return {}
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def _get_chat_context(
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self, body: dict, __metadata__: Optional[dict] = None
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) -> Dict[str, str]:
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"""
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高度可靠的聊天上下文提取逻辑。
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优先级：__metadata__ > body['chat_id'] > body['metadata']['chat_id']
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"""
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chat_id = ""
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source = "none"
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# 1. 优先从 __metadata__ 获取 (OpenWebUI 注入的最可靠来源)
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if __metadata__ and isinstance(__metadata__, dict):
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chat_id = __metadata__.get("chat_id", "")
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if chat_id:
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source = "__metadata__"
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# 2. 其次从 body 顶层获取
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if not chat_id and isinstance(body, dict):
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chat_id = body.get("chat_id", "")
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if chat_id:
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source = "body_root"
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# 3. 最后从 body.metadata 获取
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if not chat_id and isinstance(body, dict):
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body_metadata = body.get("metadata", {})
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if isinstance(body_metadata, dict):
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chat_id = body_metadata.get("chat_id", "")
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if chat_id:
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source = "body_metadata"
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# 调试：记录 ID 来源
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if chat_id:
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self._emit_debug_log(f"提取到 ChatID: {chat_id} (来源: {source})")
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else:
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# 如果还是没找到，记录一下 body 的键，方便排查
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keys = list(body.keys()) if isinstance(body, dict) else "not a dict"
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self._emit_debug_log(f"警告: 未能提取到 ChatID。Body 键: {keys}")
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return {
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"chat_id": str(chat_id).strip(),
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}
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async def pipes(self) -> List[dict]:
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"""动态获取模型列表"""
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# 如果有缓存，直接返回
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if self._model_cache:
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return self._model_cache
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self._emit_debug_log("正在动态获取模型列表...")
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try:
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self._setup_env()
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if not self.valves.GH_TOKEN:
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return [{"id": f"{self.id}-error", "name": "Error: GH_TOKEN not set"}]
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from copilot import CopilotClient
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client_config = {}
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if os.environ.get("COPILOT_CLI_PATH"):
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client_config["cli_path"] = os.environ["COPILOT_CLI_PATH"]
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client = CopilotClient(client_config)
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try:
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await client.start()
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models = await client.list_models()
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# 更新缓存
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self._model_cache = []
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exclude_list = [
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k.strip().lower()
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for k in self.valves.EXCLUDE_KEYWORDS.split(",")
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if k.strip()
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]
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models_with_info = []
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for m in models:
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# 兼容字典和对象访问方式
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m_id = (
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m.get("id") if isinstance(m, dict) else getattr(m, "id", str(m))
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)
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m_name = (
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m.get("name")
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if isinstance(m, dict)
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else getattr(m, "name", m_id)
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)
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m_policy = (
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m.get("policy")
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if isinstance(m, dict)
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else getattr(m, "policy", {})
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)
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m_billing = (
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m.get("billing")
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if isinstance(m, dict)
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else getattr(m, "billing", {})
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)
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# 检查策略状态
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state = (
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m_policy.get("state")
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if isinstance(m_policy, dict)
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else getattr(m_policy, "state", "enabled")
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)
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if state == "disabled":
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continue
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# 过滤逻辑
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if any(kw in m_id.lower() for kw in exclude_list):
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continue
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# 获取倍率
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multiplier = (
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m_billing.get("multiplier", 1)
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if isinstance(m_billing, dict)
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else getattr(m_billing, "multiplier", 1)
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)
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# 格式化显示名称
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if multiplier == 0:
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display_name = f"-🔥 {m_id} (unlimited)"
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else:
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display_name = f"-{m_id} ({multiplier}x)"
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models_with_info.append(
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{
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"id": f"{self.id}-{m_id}",
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"name": display_name,
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"multiplier": multiplier,
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"raw_id": m_id,
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}
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)
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# 排序：倍率升序，然后是原始ID升序
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models_with_info.sort(key=lambda x: (x["multiplier"], x["raw_id"]))
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self._model_cache = [
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{"id": m["id"], "name": m["name"]} for m in models_with_info
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]
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self._emit_debug_log(
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f"成功获取 {len(self._model_cache)} 个模型 (已过滤)"
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)
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return self._model_cache
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except Exception as e:
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self._emit_debug_log(f"获取模型列表失败: {e}")
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# 失败时返回默认模型
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return [
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{
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"id": f"{self.id}-{self.valves.MODEL_ID}",
|
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"name": f"GitHub Copilot ({self.valves.MODEL_ID})",
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}
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]
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finally:
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await client.stop()
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except Exception as e:
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self._emit_debug_log(f"Pipes Error: {e}")
|
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return [
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{
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"id": f"{self.id}-{self.valves.MODEL_ID}",
|
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"name": f"GitHub Copilot ({self.valves.MODEL_ID})",
|
||||
}
|
||||
]
|
||||
|
||||
async def _get_client(self):
|
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"""Helper to get or create a CopilotClient instance."""
|
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from copilot import CopilotClient
|
||||
|
||||
client_config = {}
|
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if os.environ.get("COPILOT_CLI_PATH"):
|
||||
client_config["cli_path"] = os.environ["COPILOT_CLI_PATH"]
|
||||
|
||||
client = CopilotClient(client_config)
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await client.start()
|
||||
return client
|
||||
|
||||
def _setup_env(self):
|
||||
cli_path = self.valves.CLI_PATH
|
||||
found = False
|
||||
|
||||
if os.path.exists(cli_path):
|
||||
found = True
|
||||
|
||||
if not found:
|
||||
sys_path = shutil.which("copilot")
|
||||
if sys_path:
|
||||
cli_path = sys_path
|
||||
found = True
|
||||
|
||||
if not found:
|
||||
try:
|
||||
subprocess.run(
|
||||
"curl -fsSL https://gh.io/copilot-install | bash",
|
||||
shell=True,
|
||||
check=True,
|
||||
)
|
||||
if os.path.exists(self.valves.CLI_PATH):
|
||||
cli_path = self.valves.CLI_PATH
|
||||
found = True
|
||||
except:
|
||||
pass
|
||||
|
||||
if found:
|
||||
os.environ["COPILOT_CLI_PATH"] = cli_path
|
||||
cli_dir = os.path.dirname(cli_path)
|
||||
if cli_dir not in os.environ["PATH"]:
|
||||
os.environ["PATH"] = f"{cli_dir}:{os.environ['PATH']}"
|
||||
|
||||
if self.valves.GH_TOKEN:
|
||||
os.environ["GH_TOKEN"] = self.valves.GH_TOKEN
|
||||
os.environ["GITHUB_TOKEN"] = self.valves.GH_TOKEN
|
||||
|
||||
def _process_images(self, messages):
|
||||
attachments = []
|
||||
text_content = ""
|
||||
if not messages:
|
||||
return "", []
|
||||
last_msg = messages[-1]
|
||||
content = last_msg.get("content", "")
|
||||
|
||||
if isinstance(content, list):
|
||||
for item in content:
|
||||
if item.get("type") == "text":
|
||||
text_content += item.get("text", "")
|
||||
elif item.get("type") == "image_url":
|
||||
image_url = item.get("image_url", {}).get("url", "")
|
||||
if image_url.startswith("data:image"):
|
||||
try:
|
||||
header, encoded = image_url.split(",", 1)
|
||||
ext = header.split(";")[0].split("/")[-1]
|
||||
file_name = f"image_{len(attachments)}.{ext}"
|
||||
file_path = os.path.join(self.temp_dir, file_name)
|
||||
with open(file_path, "wb") as f:
|
||||
f.write(base64.b64decode(encoded))
|
||||
attachments.append(
|
||||
{
|
||||
"type": "file",
|
||||
"path": file_path,
|
||||
"display_name": file_name,
|
||||
}
|
||||
)
|
||||
self._emit_debug_log(f"Image processed: {file_path}")
|
||||
except Exception as e:
|
||||
self._emit_debug_log(f"Image error: {e}")
|
||||
else:
|
||||
text_content = str(content)
|
||||
return text_content, attachments
|
||||
|
||||
async def pipe(
|
||||
self, body: dict, __metadata__: Optional[dict] = None
|
||||
) -> Union[str, AsyncGenerator]:
|
||||
self._setup_env()
|
||||
if not self.valves.GH_TOKEN:
|
||||
return "Error: 请在 Valves 中配置 GH_TOKEN。"
|
||||
|
||||
# 解析用户选择的模型
|
||||
request_model = body.get("model", "")
|
||||
real_model_id = self.valves.MODEL_ID # 默认值
|
||||
|
||||
if request_model.startswith(f"{self.id}-"):
|
||||
real_model_id = request_model[len(f"{self.id}-") :]
|
||||
self._emit_debug_log(f"使用选择的模型: {real_model_id}")
|
||||
|
||||
messages = body.get("messages", [])
|
||||
if not messages:
|
||||
return "No messages."
|
||||
|
||||
# 使用改进的助手获取 Chat ID
|
||||
chat_ctx = self._get_chat_context(body, __metadata__)
|
||||
chat_id = chat_ctx.get("chat_id")
|
||||
|
||||
is_streaming = body.get("stream", False)
|
||||
self._emit_debug_log(f"请求流式传输: {is_streaming}")
|
||||
|
||||
last_text, attachments = self._process_images(messages)
|
||||
|
||||
# 确定 Prompt 策略
|
||||
# 如果有 chat_id，尝试恢复会话。
|
||||
# 如果恢复成功，假设会话已有历史，只发送最后一条消息。
|
||||
# 如果是新会话，发送完整历史。
|
||||
|
||||
prompt = ""
|
||||
is_new_session = True
|
||||
|
||||
try:
|
||||
client = await self._get_client()
|
||||
session = None
|
||||
|
||||
if chat_id:
|
||||
try:
|
||||
# 尝试直接使用 chat_id 作为 session_id 恢复会话
|
||||
session = await client.resume_session(chat_id)
|
||||
self._emit_debug_log(f"已通过 ChatID 恢复会话: {chat_id}")
|
||||
is_new_session = False
|
||||
except Exception:
|
||||
# 恢复失败，磁盘上可能不存在该会话
|
||||
self._emit_debug_log(
|
||||
f"会话 {chat_id} 不存在或已过期，将创建新会话。"
|
||||
)
|
||||
session = None
|
||||
|
||||
if session is None:
|
||||
# 创建新会话
|
||||
from copilot.types import SessionConfig, InfiniteSessionConfig
|
||||
|
||||
# 无限会话配置
|
||||
infinite_session_config = None
|
||||
if self.valves.INFINITE_SESSION:
|
||||
infinite_session_config = InfiniteSessionConfig(
|
||||
enabled=True,
|
||||
background_compaction_threshold=self.valves.COMPACTION_THRESHOLD,
|
||||
buffer_exhaustion_threshold=self.valves.BUFFER_THRESHOLD,
|
||||
)
|
||||
|
||||
session_config = SessionConfig(
|
||||
session_id=(
|
||||
chat_id if chat_id else None
|
||||
), # 使用 chat_id 作为 session_id
|
||||
model=real_model_id,
|
||||
streaming=body.get("stream", False),
|
||||
infinite_sessions=infinite_session_config,
|
||||
)
|
||||
|
||||
session = await client.create_session(config=session_config)
|
||||
|
||||
# 获取新会话 ID
|
||||
new_sid = getattr(session, "session_id", getattr(session, "id", None))
|
||||
self._emit_debug_log(f"创建了新会话: {new_sid}")
|
||||
|
||||
# 构建 Prompt
|
||||
if is_new_session:
|
||||
# 新会话，发送完整历史
|
||||
full_conversation = []
|
||||
for msg in messages[:-1]:
|
||||
role = msg.get("role", "user").upper()
|
||||
content = msg.get("content", "")
|
||||
if isinstance(content, list):
|
||||
content = " ".join(
|
||||
[
|
||||
c.get("text", "")
|
||||
for c in content
|
||||
if c.get("type") == "text"
|
||||
]
|
||||
)
|
||||
full_conversation.append(f"{role}: {content}")
|
||||
full_conversation.append(f"User: {last_text}")
|
||||
prompt = "\n\n".join(full_conversation)
|
||||
else:
|
||||
# 恢复的会话，只发送最后一条消息
|
||||
prompt = last_text
|
||||
|
||||
send_payload = {"prompt": prompt, "mode": "immediate"}
|
||||
if attachments:
|
||||
send_payload["attachments"] = attachments
|
||||
|
||||
if body.get("stream", False):
|
||||
# 确定 UI 显示的会话状态消息
|
||||
init_msg = ""
|
||||
if self.valves.DEBUG:
|
||||
if is_new_session:
|
||||
new_sid = getattr(
|
||||
session, "session_id", getattr(session, "id", "unknown")
|
||||
)
|
||||
init_msg = f"> [Debug] 创建了新会话: {new_sid}\n"
|
||||
else:
|
||||
init_msg = f"> [Debug] 已通过 ChatID 恢复会话: {chat_id}\n"
|
||||
|
||||
return self.stream_response(client, session, send_payload, init_msg)
|
||||
else:
|
||||
try:
|
||||
response = await session.send_and_wait(send_payload)
|
||||
return response.data.content if response else "Empty response."
|
||||
finally:
|
||||
# 销毁会话对象以释放内存，但保留磁盘数据
|
||||
await session.destroy()
|
||||
|
||||
except Exception as e:
|
||||
self._emit_debug_log(f"请求错误: {e}")
|
||||
return f"Error: {str(e)}"
|
||||
|
||||
async def stream_response(
|
||||
self, client, session, send_payload, init_message: str = ""
|
||||
) -> AsyncGenerator:
|
||||
queue = asyncio.Queue()
|
||||
done = asyncio.Event()
|
||||
self.thinking_started = False
|
||||
has_content = False # 追踪是否已经输出了内容
|
||||
|
||||
def get_event_data(event, attr, default=""):
|
||||
if hasattr(event, "data"):
|
||||
data = event.data
|
||||
if data is None:
|
||||
return default
|
||||
if isinstance(data, (str, int, float, bool)):
|
||||
return str(data) if attr == "value" else default
|
||||
|
||||
if isinstance(data, dict):
|
||||
val = data.get(attr)
|
||||
if val is None:
|
||||
alt_attr = attr.replace("_", "") if "_" in attr else attr
|
||||
val = data.get(alt_attr)
|
||||
if val is None and "_" not in attr:
|
||||
# 尝试将 camelCase 转换为 snake_case
|
||||
import re
|
||||
|
||||
snake_attr = re.sub(r"(?<!^)(?=[A-Z])", "_", attr).lower()
|
||||
val = data.get(snake_attr)
|
||||
else:
|
||||
val = getattr(data, attr, None)
|
||||
if val is None:
|
||||
alt_attr = attr.replace("_", "") if "_" in attr else attr
|
||||
val = getattr(data, alt_attr, None)
|
||||
if val is None and "_" not in attr:
|
||||
import re
|
||||
|
||||
snake_attr = re.sub(r"(?<!^)(?=[A-Z])", "_", attr).lower()
|
||||
val = getattr(data, snake_attr, None)
|
||||
|
||||
return val if val is not None else default
|
||||
return default
|
||||
|
||||
def handler(event):
|
||||
event_type = (
|
||||
getattr(event.type, "value", None)
|
||||
if hasattr(event, "type")
|
||||
else str(event.type)
|
||||
)
|
||||
|
||||
# 记录工具事件的完整数据以辅助调试
|
||||
if "tool" in event_type:
|
||||
try:
|
||||
data_str = str(event.data) if hasattr(event, "data") else "no data"
|
||||
self._emit_debug_log(f"Tool Event [{event_type}]: {data_str}")
|
||||
except:
|
||||
pass
|
||||
|
||||
self._emit_debug_log(f"Event: {event_type}")
|
||||
|
||||
# 处理消息内容 (增量或全量)
|
||||
if event_type in [
|
||||
"assistant.message_delta",
|
||||
"assistant.message.delta",
|
||||
"assistant.message",
|
||||
]:
|
||||
# 记录全量消息事件的特殊日志，帮助排查为什么没有 delta
|
||||
if event_type == "assistant.message":
|
||||
self._emit_debug_log(
|
||||
f"收到全量消息事件 (非 Delta): {get_event_data(event, 'content')[:50]}..."
|
||||
)
|
||||
|
||||
delta = (
|
||||
get_event_data(event, "delta_content")
|
||||
or get_event_data(event, "deltaContent")
|
||||
or get_event_data(event, "content")
|
||||
or get_event_data(event, "text")
|
||||
)
|
||||
if delta:
|
||||
if self.thinking_started:
|
||||
queue.put_nowait("\n</think>\n")
|
||||
self.thinking_started = False
|
||||
queue.put_nowait(delta)
|
||||
|
||||
elif event_type in [
|
||||
"assistant.reasoning_delta",
|
||||
"assistant.reasoning.delta",
|
||||
"assistant.reasoning",
|
||||
]:
|
||||
delta = (
|
||||
get_event_data(event, "delta_content")
|
||||
or get_event_data(event, "deltaContent")
|
||||
or get_event_data(event, "content")
|
||||
or get_event_data(event, "text")
|
||||
)
|
||||
if delta:
|
||||
if not self.thinking_started and self.valves.SHOW_THINKING:
|
||||
queue.put_nowait("<think>\n")
|
||||
self.thinking_started = True
|
||||
if self.thinking_started:
|
||||
queue.put_nowait(delta)
|
||||
|
||||
elif event_type == "tool.execution_start":
|
||||
# 尝试多个可能的字段来获取工具名称或描述
|
||||
tool_name = (
|
||||
get_event_data(event, "toolName")
|
||||
or get_event_data(event, "name")
|
||||
or get_event_data(event, "description")
|
||||
or get_event_data(event, "tool_name")
|
||||
or "Unknown Tool"
|
||||
)
|
||||
if not self.thinking_started and self.valves.SHOW_THINKING:
|
||||
queue.put_nowait("<think>\n")
|
||||
self.thinking_started = True
|
||||
if self.thinking_started:
|
||||
queue.put_nowait(f"\n正在运行工具: {tool_name}...\n")
|
||||
self._emit_debug_log(f"Tool Start: {tool_name}")
|
||||
|
||||
elif event_type == "tool.execution_complete":
|
||||
if self.thinking_started:
|
||||
queue.put_nowait("工具运行完成。\n")
|
||||
self._emit_debug_log("Tool Complete")
|
||||
|
||||
elif event_type == "session.compaction_start":
|
||||
self._emit_debug_log("会话压缩开始")
|
||||
|
||||
elif event_type == "session.compaction_complete":
|
||||
self._emit_debug_log("会话压缩完成")
|
||||
|
||||
elif event_type == "session.idle":
|
||||
done.set()
|
||||
elif event_type == "session.error":
|
||||
msg = get_event_data(event, "message", "Unknown Error")
|
||||
queue.put_nowait(f"\n[Error: {msg}]")
|
||||
done.set()
|
||||
|
||||
unsubscribe = session.on(handler)
|
||||
await session.send(send_payload)
|
||||
|
||||
if self.valves.DEBUG:
|
||||
yield "<think>\n"
|
||||
if init_message:
|
||||
yield init_message
|
||||
yield "> [Debug] 连接已建立，等待响应...\n"
|
||||
self.thinking_started = True
|
||||
|
||||
try:
|
||||
while not done.is_set():
|
||||
try:
|
||||
chunk = await asyncio.wait_for(
|
||||
queue.get(), timeout=float(self.valves.TIMEOUT)
|
||||
)
|
||||
if chunk:
|
||||
has_content = True
|
||||
yield chunk
|
||||
except asyncio.TimeoutError:
|
||||
if done.is_set():
|
||||
break
|
||||
if self.thinking_started:
|
||||
yield f"> [Debug] 等待响应中 (已超过 {self.valves.TIMEOUT} 秒)...\n"
|
||||
continue
|
||||
|
||||
while not queue.empty():
|
||||
chunk = queue.get_nowait()
|
||||
if chunk:
|
||||
has_content = True
|
||||
yield chunk
|
||||
|
||||
if self.thinking_started:
|
||||
yield "\n</think>\n"
|
||||
has_content = True
|
||||
|
||||
# 核心修复：如果整个过程没有任何输出，返回一个提示，防止 OpenWebUI 报错
|
||||
if not has_content:
|
||||
yield "⚠️ Copilot 未返回任何内容。请检查模型 ID 是否正确，或尝试在 Valves 中开启 DEBUG 模式查看详细日志。"
|
||||
|
||||
except Exception as e:
|
||||
yield f"\n[Stream Error: {str(e)}]"
|
||||
finally:
|
||||
unsubscribe()
|
||||
# 销毁会话对象以释放内存，但保留磁盘数据
|
||||
await session.destroy()
|
||||
Reference in New Issue
Block a user